Uncertainty Quantification of Soil-Structure Interaction in Tunnel Linings by Polynomial Chaos Expansion
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F24%3APU154894" target="_blank" >RIV/00216305:26110/24:PU154894 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/book/10.1007/978-3-031-60271-9" target="_blank" >https://link.springer.com/book/10.1007/978-3-031-60271-9</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-60271-9_48" target="_blank" >10.1007/978-3-031-60271-9_48</a>
Alternative languages
Result language
angličtina
Original language name
Uncertainty Quantification of Soil-Structure Interaction in Tunnel Linings by Polynomial Chaos Expansion
Original language description
The paper is focused on uncertainty quantification of soil-structure interaction in tunnel linings using a surrogate model in form of Polynomial Chaos Expansion (PCE). Tunnel design is a complex and complicated task since it is strongly associated with a great number of load and material uncertainties. Moreover, modelling the soil-structure interaction multiplies the complexity and non-linearity of a tunnel engineering problems. In order to handle such uncertainties, finite element method with random input variables has proven to be a very accurate tool. The probabilistic analysis is typically performed by Monte Carlo simulation (MC), simulating uncertainties according to their complete probability distributions and statistical correlations. The computational burden of MC represents the main obstacle to its use in complex numerical models and it is therefore not practical for industrial applications. The solution can be an efficient approximation of the original mathematical model by computationally efficient analytical function – a surrogate model. In this study, the surrogate model in form of PCE is utilized, allowing for analytical post-processing (statistical and sensitivity analysis). Uncertainty quantification is focused on estimation of spatial variability of internal forces caused by the soil-structure interaction.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20101 - Civil engineering
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
20th International Probabilistic Workshop
ISBN
9783031602702
ISSN
—
e-ISSN
—
Number of pages
8
Pages from-to
512-519
Publisher name
Springer Science and Business Media Deutschland GmbH
Place of publication
neuveden
Event location
Guimarães
Event date
May 8, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—